Research Blog: Genomic Data Processing on Google Cloud Platform

Today we hear from Broad Institute of MIT and Harvard about how their researchers and software engineers are collaborating closely with the Google Genomics team on large-scale genomic data analysis. They’ve already reduced the time and cost for whole genome processing by several fold, helping researchers think even bigger. Broad’s open source tools, developed in close collaboration with Google Genomics, will also be made available to the wider research community.
– Jonathan Bingham, Product Manager, Google Genomics.

As one of the largest genome sequencing centers in the world, the Broad Institute of MIT and Harvard generates a lot of data. Our DNA sequencers produce more than 20 Terabytes (TB) of genomic data per day, and they run 365 days a year. Moreover, our rate of data generation is not only growing, but accelerating – our output increased more than two-fold last year, and nearly two-fold the previous year. We are not alone in facing this embarrassment of riches; across the whole genomics community, the rate of data production is doubling about every eight months with no end in sight.

Source: Research Blog: Genomic Data Processing on Google Cloud Platform

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